Papers

Title 1 Anomaly Detection of Malicious Energy Usage in Smart Factories using Deep Neural Network
Target: KICS Conference

Title2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ETFA 2021 Conference

Title3: Enhanced Vulnerability Detection in Scada Systems using Hyper-Parameter-Tune Machine Learning
Target: MILCOM 2021 Conference

Title 4: Efficient and Real-Time Energy Consumption Forecasting for Smart Factories using NARX
Target: IEEE Transaction on Industrial Informatics

Title 5: Scada Networks Vulnerability and Attack Specifics: Reliability and Efficient Detection
Target: IEEE Transaction on Industrial Informatics

Last Week's Progress

Title 1: Completed and Submitted
Title 2: Completed and Submitted

Suspended work on Titles 3, and 5 to attend a domestic conference, KICS 2021

This Week Todo's

Title 1: Attended conference, KICS 2021
Title 2: Awaiting reviewer’s response/comments

Title 3: 1. To start model training
2. Performance Evaluation

Title 4: 1. To continue with model training
2. Fine-tuning of parameters
3. Performance Evaluation

Title 5: 1. To continue with the survey of related works of literature
2. To continue with Introduction

Project Progress

Smart Grid Energy for Energy Consumption Prediction Using LSTM Model in Industrial Environment

Last Week's Project

Submitted preliminary report

Moved to a new project

This Week's Project

To start learning about the new project

Monthly Goals

1. To conclude Titles 3 and 4

3. To continue reading and training on Machine Learning

Annual Goals

1. Attend at least one NSL approved Domestic Conference

2. Attend at least one International Conference

3. Submit at least two International Journals